Amazon Dev Center India
Investigation Loss Prevention, Risk Family, no business category
Sr.AIRiskManager
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“Sr. AI Risk Manager at Amazon Dev Center India. Skills: AI risk management, Risk assessment pipelines, Machine learning models, Risk intelligence. Design AI-powered pipelines. Build AI-powered pipelines”
What You'll Achieve.
Prevent abuse at scale; Transform risk prevention; Improve consistency; Generate new risk insights; Deliver best results; Protect customers and sellers
Industry & Context.
Root cause analysis; Classification drift analysis; False-positive analysis; False-negative analysis
What They're Looking For.
Must Have
5+ years operations experience, 5+ years risk experience, 5+ years fraud investigations experience, Proficiency with SQL, Proficiency with Python
Nice to Have
Experience developing operational processes, Experience developing operational technologies, Experience in written communication, Experience in verbal communication, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing, Experience building ML models, Experience deploying ML models, Experience building classification systems, Experience deploying classification systems, Experience building topic modeling pipelines, Experience deploying topic modeling pipelines, Hands-on experience with Amazon Bedrock, Hands-on experience with Amazon SageMaker, Hands-on experience with Amazon QuickSight
What You'll Do.
Design AI-powered pipelines
Build AI-powered pipelines
Deploy AI-powered pipelines
Categorize incoming escalations
Identify systematic defects
Surface emerging abuse patterns
Identify systemic enforcement gaps
Identify high-impact defect clusters
Automate root cause classification
Automate risk scoring
Automate escalation triage
Study investigation processes
Study escalation workflows
Identify AI-driven automation opportunities
Identify model augmentation opportunities
Identify new data collection needs
Develop analytical frameworks
Develop visualization layers
Translate model outputs
Instrument model performance metrics
Monitor model performance metrics
Monitor operational metrics
Measure classification accuracy
Measure automation coverage
Measure defect reduction
Measure business impact
Integrate model outputs
Surface AI-powered assessments
Conduct analysis on model performance
Conduct analysis on classification drift
Conduct analysis on false-positive trends
Conduct analysis on false-negative trends
Present data-rich risk papers
Track key risk indicators
Track escalation trends
Track model-derived insights
Quantify operational return
How You'll Work.
Team & Collaboration
Partner with engineering; Partner with product; Partner with operations; Partner with science teams; Cross-functional collaboration
Communication Scope
Technical communication; Non-technical communication; Senior leadership communication; Data-rich presentations
Full Job Description
Millions of Selling Partners trust Amazon's marketplace to grow their businesses, and hundreds of millions of customers depend on us every day. Behind that trust is a network of systems, tools, and workflows designed to detect and resolve fraud and abuse at scale — and our team builds them. About the Role: We are looking for a Sr. Risk Manager who builds risk assessment and insight frameworks powered by AI. In this role, you will study incoming escalations not to investigate individual cases, but to understand the risk landscape deeply enough to build the models, classification systems, and analytical tools that transform raw escalation signals into structured, actionable intelligence at scale. You will design and deploy AI-driven risk assessment pipelines that automatically categorize incoming escalations, surface emerging abuse patterns, and quantify systemic defects across hundreds of thousands of annual contacts. You will use Amazon's AI and ML infrastructure to build topic models, root cause classifiers, and risk scoring frameworks that give investigators, program teams, and senior leaders the insights they need to act faster and prevent abuse before it scales. You will study investigation workflows to determine where automation replaces manual effort, where model-driven augmentation improves human judgment, and where new data collection mechanisms are needed to close intelligence gaps. This role offers the opportunity to shape how Amazon protects seller and customer trust by building the AI-powered risk intelligence layer that sits underneath every escalation decision our organization makes. Key job responsibilities ● Design, build, and deploy AI-powered risk assessment and classification pipelines that automatically categorize incoming escalations against governed root cause taxonomies, enabling systematic defect identification and trend detection across the full escalation portfolio ● Mine risk signals from unstructured escalation data to surface emerging ab
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